Papers citing Applying Machine Learning to Rechargeable Batteries: From the Microscale to the Macroscale
Advances in data‐assisted high‐throughput computations for material design
Materials Genome Engineering Advances · 2023
Dingguo Xu, Qiao Zhang, Xiangyu Huo, Yitong Wang, Mingli Yang
Read original paper ↗ ·Building Smarter Aqueous Batteries
Small Methods · 2023
Canbin Deng, Yiqing Li, Jiaqiang Huang
Read original paper ↗ ·Data-Driven Insight into the Reductive Stability of Ion–Solvent Complexes in Lithium Battery Electrolytes
Journal of the American Chemical Society · 2023
Yuchen Gao, Nan Yao, Xiang Chen, Legeng Yu, Rui Zhang, Qiang Zhang
Read original paper ↗ ·Digital modeling-assisted mesoscale visualization lights up materials science from liquid- to solid-state batteries
Energy storage materials · 2023
Zhuomin Qiang, Xudong Li, Yanbin Ning, Chaoqun Zhang, Yinyong Sun, Geping Yin, Jiajun Wang, Shuaifeng Lou
Read original paper ↗ ·Machine learning for beyond Li-ion batteries: Powering the research
Journal of Energy Storage · 2023
Aysegul Kilic, Burcu Oral, Damla Eroğlu, Ramazan Yıldırım
Read original paper ↗ ·A comparative study of data-driven battery capacity estimation based on partial charging curves
Journal of Energy Chemistry · 2023
Chuanping Lin, Jun Xu, Delong Jiang, Jiayang Hou, Ying Liang, Xianggong Zhang, Enhu Li, Xuesong Mei
Read original paper ↗ ·Physics-based battery SOC estimation methods: Recent advances and future perspectives
Journal of Energy Chemistry · 2023
Longxing Wu, Zhiqiang Lyu, Zebo Huang, Chao Zhang, Changyin Wei
Read original paper ↗ ·Opportunities for ionic liquid-based electrolytes in rechargeable lithium batteries
Science China Chemistry · 2023
Xingxing Wang, Letao Jin, Wenfang Feng, Zhibin Zhou, Heng Zhang
Read original paper ↗ ·Engineering the spin configuration of electrocatalysts for electrochemical renewable conversions
Materials Chemistry Frontiers · 2023
Yuying Jiang, Ke Yang, Menggang Li, Denghui Xu, Zhenhui Ma
Read original paper ↗ ·New insights on designing the next-generation materials for electrochemical synthesis of reactive oxidative species towards efficient and scalable water treatment: A review and perspectives
Journal of environmental chemical engineering · 2023
Amir Taqieddin, Stephanie Sarrouf, Muhammad Fahad Ehsan, Akram N. Alshawabkeh
Read original paper ↗ ·Depth analysis of battery performance based on a data-driven approach
Electrochimica Acta · 2023
Zhen Zhang, Hongrui Sun, Hui Sun
Read original paper ↗ ·Navigating materials chemical space to discover new battery electrodes using machine learning
Energy storage materials · 2023
Mukhtar Lawan Adam, Oyawale Adetunji Moses, Jonathan P. Mailoa, Chang‐Yu Hsieh, Xue‐Feng Yu, Hao Li, Haitao Zhao
Read original paper ↗ ·Impact of Formulation and Slurry Properties on Lithium‐ion Electrode Manufacturing
Batteries & Supercaps · 2023
Carl Reynolds, Mona Faraji Niri, M. Hidalgo, Robert Heymer, Luis A. Román‐Ramírez, Giar Alsofi, Halima Khanom, Ben Pye, James Marco, Emma Kendrick
Read original paper ↗ ·A hierarchical enhanced data-driven battery pack capacity estimation framework for real-world operating conditions with fewer labeled data
Journal of Energy Chemistry · 2023
Sijia Yang, Caiping Zhang, Haoze Chen, Jinyu Wang, Dinghong Chen, Linjing Zhang, Weige Zhang
Read original paper ↗ ·An Adaptive State of Health Estimation Method for Lithium-Ion Batteries Using Impedance-Based Health Indicators and Multilayer Perceptron
SSRN Electronic Journal · 2024
Fang Wang, Shiqiang Liu, Shiqin Chen, Qi Zhang, Dafang Wang, Xiaole Ma, Xiaoqian Dai
Read original paper ↗ ·Data-driven search for promising intercalating ions and layered materials for metal-ion batteries
Journal of Materials Science · 2024
S. Parida, Avanish Mishra, Qi Yang, Arthur D. Dobley, C. Barry Carter, Avinash M. Dongare
Read original paper ↗ ·High-Throughput Screening of Ni-Rich Layered Cathode Materials for Sodium-Ion Batteries Based on Machine Learning
SSRN Electronic Journal · 2024
Tian‐E Fan, Haoran Lei, Hanyu Li
Read original paper ↗ ·Na[Mn 0.36 Ni 0.44 Ti 0.15 Fe 0.05 ]O 2 predicted via machine learning for high energy Na-ion batteries
Journal of Materials Chemistry A · 2024
Saaya Sekine, Tomooki Hosaka, Hayato Maejima, Ryoichi Tatara, Masanobu Nakayama, Shinichi Komaba
Read original paper ↗ ·Toward Next-Generation Heterogeneous Catalysts: Empowering Surface Reactivity Prediction with Machine Learning
Engineering · 2024
Xinyan Liu, Hong‐Jie Peng
Read original paper ↗ ·A self‐adaptive, data‐driven method to predict the cycling life of lithium‐ion batteries
InfoMat · 2024
Chao Han, Yuchen Gao, Xiang Chen, Xinyan Liu, Nan Yao, Legeng Yu, Long Kong, Qiang Zhang
Read original paper ↗ ·Data‐Driven Online Prognosis of Rechargeable Batteries: Prospect and Perspective
Batteries & Supercaps · 2024
Kun‐Yu Liu, T. Wang, Xinyan Liu, Hong‐Jie Peng
Read original paper ↗ ·A mini review: How to select electrolyte additives for better Zn anode electrochemistry?
Energy storage materials · 2024
Yang Zhou, Yang Zhou, Xuyan Ni, Baojiu Hao, Xi Zhou, Chenglin Yan, Jinqiu Zhou, Tao Qian
Read original paper ↗ ·Battery pack capacity estimation for electric vehicles based on enhanced machine learning and field data
Journal of Energy Chemistry · 2024
Qingguang Qi, Wenxue Liu, Zhongwei Deng, Jinwen Li, Ziyou Song, Xiaosong Hu
Read original paper ↗ ·Interpretable Machine Learning To Accelerate the Analysis of Doping Effect on Li/Ni Exchange in Ni-Rich Layered Oxide Cathodes
The Journal of Physical Chemistry Letters · 2024
Yining Jia, Ruiqi Zhang, Chi Fang, Jiaxin Zheng
Read original paper ↗ ·Cationic perturbation strategy to solve the information drought in material explainable machine learning
Physical review. B./Physical review. B · 2024
Zhengxin Chen, Hange Wang, Bowen Liu, Hairui Zhou, Yingjie Cao, Yanan Wang, Peng Lin, Xiaolin Liu, Jia Horng Lin, Xianfeng Chen, Jiang Wu
Read original paper ↗ ·Electrolyte Solvation Chemistry for Stabilizing the Zn Anode via Functionalized Organic Agents
Small · 2024
Yan Zhang, Xianwei Fu, Yueling Ding, Ye Liu, Yong Zhao, Shilong Jiao
Read original paper ↗ ·Machine Learning‐Assisted Property Prediction of Solid‐State Electrolyte
Advanced Energy Materials · 2024
Jin Li, Meisa Zhou, Hong‐Hui Wu, Lifei Wang, Jian Zhang, Naiteng Wu, Kunming Pan, Guilong Liu, Yinggan Zhang, Jiajia Han, Xianming Liu, Xiang Chen, Jiayu Wan, Qiaobao Zhang
Read original paper ↗ ·Decoding Electrochemical Processes of Lithium‐Ion Batteries by Classical Molecular Dynamics Simulations
Advanced Energy Materials · 2024
Xi Tan, Ming Chen, Jinkai Zhang, Shiqi Li, Huajie Zhang, Long Yang, Tian Shi Sun, Xin Qian, Guang Feng
Read original paper ↗ ·State-of-charge estimation of lithium-ion battery: Joint long short-term memory network and adaptive extended Kalman filter online estimation algorithm
Journal of Power Sources · 2024
Hongyu Zhao, Chenglin Liao, Chengzhong Zhang, Liye Wang, Lifang Wang
Read original paper ↗ ·Exploring solvation structure and transport behavior for rational design of advanced electrolytes for next generation of lithium batteries
Applied Physics Reviews · 2024
Xiaozhao Liu, Volodymyr A. Koverga, Thi Thu Hoai Nguyen, Anh T. Ngo, Tao Li
Read original paper ↗ ·Critical Effects of Insoluble Additives in Liquid Electrolytes for Metal Batteries
Small · 2024
Zhu Xu, Kexuan Wang, Heng Li, Huibo Wang, Mingzheng Ge, Yanyan Zhang, Yuxin Tang, Shi Chen
Read original paper ↗ ·Machine learning in energy storage material discovery and performance prediction
Chemical Engineering Journal · 2024
Guochang Huang, Fuqiang Huang, Wujie Dong
Read original paper ↗ ·Bridging multimodal data and battery science with machine learning
Matter · 2024
Yanbin Ning, Feng Yang, Yan Zhang, Zhuomin Qiang, Geping Yin, Jiajun Wang, Shuaifeng Lou
Read original paper ↗ ·Lithium-ion battery digitalization: Combining physics-based models and machine learning
Renewable and Sustainable Energy Reviews · 2024
Mahshid Nejati Amiri, Anne Håkansson, Odne Stokke Burheim, Jacob Joseph Lamb
Read original paper ↗ ·The importance of precise and suitable descriptors in data‐driven approach to boost development of lithium batteries: A perspective
Electron · 2024
Zehua Wang, Li Wang, Hao Zhang, Hong Xu, Xiangming He
Read original paper ↗ ·Current update and prospects in the development of conductive metal-organic framework electrodes for lithium-based batteries
Materials Today Sustainability · 2024
Samuel Oluwakayode Ajayi, Tarekegn Heliso Dolla, Ludwe Luther Sikeyi, Akinshola Olabamiji Akinola, Winny Kgabo Maboya, Xinying Liu, Peter Ramashadi Makgwane, Mkhulu Kenneth Mathe
Read original paper ↗ ·Rational design of MXene-based vacancy-confined single-atom catalyst for efficient oxygen evolution reaction
Journal of Energy Chemistry · 2024
Zhongheng Fu, Guangtong Hai, Xia‐Xia Ma, Dominik Legut, Yongchao Zheng, Xiang Chen
Read original paper ↗ ·A high-flash-point quasi-solid polymer electrolyte for stable nickel-rich lithium metal batteries
Journal of Energy Chemistry · 2024
Yu-Kun Liu, Xueyan Huang, Jundong Zhang, Wei-Jin Kong, Juan Du, Ximin Zhai, Xiaofei Bie, Huanli Sun, Hao Zhang, Chong Yan, Xuechun Hao, Li‐Zhen Fan, Aibing Chen, Chen‐Zi Zhao
Read original paper ↗ ·A novel transformer‐embedded lithium‐ion battery model for joint estimation of state‐of‐charge and state‐of‐health
Rare Metals · 2024
Shangyu Zhao, Kai Ou, Xingxing Gu, Zhi-Min Dan, Jiu-Jun Zhang, Ya‐Xiong Wang
Read original paper ↗ ·Unveiling spin magnetic effect of TM doped SnS2 nanosheet with enhanced hydrogen evolution reaction
Journal of Energy Chemistry · 2024
Ruixin Xu, Tianzhao Lin, Shiqian Cao, Tingting Bo, Yanyu Liu, Wei Zhou
Read original paper ↗ ·Machine Learning‐Assisted Design of Nitrogen‐Rich Covalent Triazine Frameworks Photocatalysts
Advanced Functional Materials · 2024
Mingliang Wu, Zhilong Song, Yu Cui, Zhanzhao Fu, Kunquan Hong, Qiang Li, Zhiyang Lyu, Wei Liu, Jinlan Wang
Read original paper ↗ ·Accelerating the design of catalysts for CO2 electroreduction to HCOOH: A data-driven DFT-ML screening of dual atom catalysts
Journal of Energy Chemistry · 2024
Huiwen Zhu, Zeyu Guo, Dawei Lan, Shuai Liu, Min Liu, Jianwen Zhang, Xiang Luo, Jiahui Yu, Tao Wu
Read original paper ↗ ·Design principle of single-atom catalysts for sulfur reduction reaction–interplay between coordination patterns and transition metals
Science China Materials · 2024
Wentao Zhang, Gaoshang Zhang, Zhaotian Xie, Xinming Zhang, Jiabin Ma, Ziyao Gao, Kuang Yu, Lele Peng
Read original paper ↗ ·Data-driven analysis of battery formation reveals the role of electrode utilization in extending cycle life
Joule · 2024
Xiao Cui, Stephen Dongmin Kang, Sunny Wang, Justin A. Rose, Huada Lian, Alexis Geslin, Steven B. Torrisi, Martin Z. Bazant, Shijing Sun, William C. Chueh
Read original paper ↗ ·Recognition of Molecular Structure of Phosphonium Salts from the Visual Appearance of Material with Deep Learning Can Reveal Subtle Homologs
Small · 2024
Daniil A. Boiko, Daria M. Arkhipova, Valentine P. Ananikov
Read original paper ↗ ·Conversion-type cathode materials for high energy density solid-state lithium batteries
Journal of Energy Chemistry · 2024
Yuhao Ma, Shihong Qing, Hongyu Liu, Chuntao Ma, Yuan Yu, Yuan Yu, Chuang Yu, Liping Wang
Read original paper ↗ ·A Knowledge–Data Dual‐Driven Framework for Predicting the Molecular Properties of Rechargeable Battery Electrolytes
Angewandte Chemie · 2024
Yuchen Gao, Yu‐Hang Yuan, Suozhi Huang, Nan Yao, Legeng Yu, Yao‐Peng Chen, Qiang Zhang, Xiang Chen
Read original paper ↗ ·A Knowledge–Data Dual‐Driven Framework for Predicting the Molecular Properties of Rechargeable Battery Electrolytes
Angewandte Chemie International Edition · 2024
Yuchen Gao, Yu‐Hang Yuan, Suozhi Huang, Nan Yao, Legeng Yu, Yao‐Peng Chen, Qiang Zhang, Xiang Chen
Read original paper ↗ ·Enhanced battery life prediction with reduced data demand via semi-supervised representation learning
Journal of Energy Chemistry · 2024
Liang Ma, Jinpeng Tian, Tieling Zhang, Qinghua Guo, Chi Yung Chung
Read original paper ↗ ·Interpretable Learning of Accelerated Aging in Lithium Metal Batteries
Journal of the American Chemical Society · 2024
Xinyan Liu, Bobo Zou, Ya-Nan Wang, Xiang Chen, Jia‐Qi Huang, Qiang Zhang, Qiang Zhang, Hong‐Jie Peng
Read original paper ↗ ·